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Each email is broken down into its most interesting tokens, each
assigned a spam probability. All probabilities are then combined to
produce a statistical probability of spam. This approach, applied to a
mature corpus of email, has the potential to yield a 99.5% success
rate with only 0.03% chance of false positives.
Obtaining
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Help List | <jonathan@networkdweebs.com> |
Developer List | <jonathan@networkdweebs.com> |
Bug List | <jonathan@networkdweebs.com> |
Support | <support@networkdweebs.com> |
Maintainers |
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Developers |
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Interfaces | command line, web |
Source languages | C |
Use requirements | Berkeley DB |
Weak prerequisites | PERL (for optional CGI interface |
Related programs | Spam Assassin, bogofilter, Distributed Checksum Clearinghouse, Popsneaker, Spam-X, MessageWall, SpamX, Spastic |
License verified by | Janet Casey <jcasey@gnu.org> on 2003-04-29 |
Entry compiled by | Janet Casey <jcasey@gnu.org> |
Categories
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Copyright © 2000, 2001, 2002, 2003, 2004 Free Software Foundation, Inc.
Permission is granted to copy, distribute, and/or modify this document under the terms of the GNU Free Documentation License, Version 1.1 or any later version published by the Free Software Foundation; with no Invariant Sections, with no Front-Cover Texts, and with no Back-Cover Texts. A copy of this license is included in the file COPYING.DOC.
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